hBERTv1_new_pretrain_48_ver2_mrpc – AI Model by gokuls | AlphaNeural AI

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gokuls/
hBERTv1_new_pretrain_48_ver2_mrpc

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text-classification

generated_from_trainer

gokuls/bert_12_layer_model_v1_complete_training_new_48

autotrain_compatible

endpoints_compatible

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hBERTv1_new_pretrain_48_ver2_mrpc

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_48 on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

Loss: 0.5902
Accuracy: 0.6838
F1: 0.7969
Combined Score: 0.7403

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 4e-05
train_batch_size: 64
eval_batch_size: 64
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.6435	1.0	58	0.6367	0.6544	0.7531	0.7037
0.6154	2.0	116	0.5902	0.6838	0.7969	0.7403
0.5494	3.0	174	0.6056	0.6985	0.7953	0.7469
0.4115	4.0	232	0.7328	0.625	0.7119	0.6684
0.2774	5.0	290	0.9700	0.6740	0.7654	0.7197
0.1932	6.0	348	1.1100	0.6667	0.7563	0.7115
0.1464	7.0	406	1.1999	0.6642	0.7540	0.7091

Framework versions

Transformers 4.34.0
Pytorch 1.14.0a0+410ce96
Datasets 2.14.5
Tokenizers 0.14.1